Tsoutsanis, PanagiotisFu, LinNogueira, Xesús2026-07-132026-07-132024P. Tsoutsanis, X. NOGUEIRA and L. FU, Adaptively Tuned High-Order Methods for iLES, in: Advances in Turbulence Modeling using Nonlocal Derivatives, Implicit LES and Deep Learning, 2024. ECCOMAS 2024. URL https://www.scipedia.com/public/Tsoutsanis_et_al_2024a. DOI: 10.23967/eccomas.2024.0402696-6999https://hdl.handle.net/2183/48868Paper presented at the 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2024), 3-7 June 2024, Lisboa, Portugal.[Abstract]: Implicit Large Eddy Simulation (iLES) is popular for modeling high-Reynolds-number turbulent flows due to its simplicity and efficiency. High-resolution numerical schemes in iLES mimic subgrid-scale models by using numerical dissipation/dispersion errors. Balancing these errors is crucial to avoid unphysical energy build-up or excessive diffusion, especially in compressible flows with discontinuities and smooth features. This work introduces an adaptive dissipation/dispersion adjustment (ADDA) algorithm for the CWENOZ scheme in a finite- volume framework for unstructured meshes, tested in subsonic, transonic, and supersonic regimes. The ADDA algorithm enhances robustness and scale-resolving capabilities, yielding efficient and physically meaningful results, and is available in the open-source UCNS3D CFD solver.engAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/Compressible flowCWENO schemesFinite-Volume methodTurbulenceCFDiLESHigh-Order Finite-VolumeCWENOZconference outputopen access10.23967/eccomas.2024.040